def run(self, ips, imgs, para = None):
if not para['slice']:imgs = [ips.img]
k = ips.unit[0]
titles = ['Slice', 'ID'][0 if para['slice'] else 1:] + ['Center-X','Center-Y', 'N', 'Neighbors']
buf = imgs[0].astype(np.uint32)
data, mark = [], {'type':'layers', 'body':{}}
for i in range(len(imgs)):
if para['labled']: buf = imgs[i]
else: label(imgs[i], generate_binary_structure(2, 1), output=buf)
conarr = connect_graph(buf, 1 if para['con']=='4-connect' else 2, not self.para['nozero'])
conmap = mapidx(conarr)
ls = regionprops(buf)
dt = [[i]*len(ls), list(range(1,1+len(ls)))]
if not para['slice']:dt = dt[1:]
layer = {'type':'layer', 'body':[]}
texts = [(i.centroid[::-1])+('id=%d'%i.label,) for i in ls]
lines = [(ls[i-1].centroid[::-1], ls[j-1].centroid[::-1]) for i,j in conarr]
layer['body'].append({'type':'texts', 'body':texts})
layer['body'].append({'type':'lines', 'body':lines})
mark['body'][i] = layer
dt.append([round(i.centroid[1]*k,1) for i in ls])
dt.append([round(i.centroid[0]*k,1) for i in ls])
neibs = [conmap[i.label] if i.label in conmap else [] for i in ls]
dt.extend([[len(i) for i in neibs], neibs])
data.extend(list(zip(*dt)))
ips.mark = mark2shp(mark)
self.app.show_table(pd.DataFrame(data, columns=titles), ips.title+'-region')
def run(self, ips, imgs, para = None):
if not para['slice']: imgs = [ips.img]
labels = []
for i in range(len(imgs)):
self.progress(i, len(imgs))
con = 1 if para['con']=='4-Connect' else 2
idx = connect.connect_graph(imgs[i], con, para['back'])
idx = connect.mapidx(idx)
cmap = render.node_render(idx, para['colors'], 10)
lut = np.ones(imgs[i].max()+1, dtype=np.uint8)
lut[0] = 0
for j in cmap: lut[j] = cmap[j]
labels.append(lut[imgs[i]])
ips = Image(labels, ips.title+'-render')
ips.range = (0, para['colors'])
self.app.show_img(ips)